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Linking renewables and fossil fuels with carbon capture via energy storage for a sustainable energy future

Dawid P. Hanak, Vasilije Manovic

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3,   Pages 453-459 doi: 10.1007/s11705-019-1892-2

Abstract: Novel integrated systems can be achieved by integrating these applications into CCS with inherent energy

Keywords： carbon capture     energy storage     renewable energy sources     decarbonisation     fossil fuels    

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Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2

Abstract:

● A novel framework integrating quantile regression with machine learning

Keywords： Driver-response     Upper boundary of relationship     Interpretable machine learning     Quantile regression     Total phosphorus     Chlorophyll a    

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Eco-innovative design approach: Integrating quality and environmental aspects in prioritizing and solving

Mahmoud CHAKROUN,Grigore GOGU,Thomas PACAUD,Fran?ois THIRION

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 203-217 doi: 10.1007/s11465-014-0308-8

Abstract:

This study proposes an eco-innovative design process taking into consideration quality and environmental aspects in prioritizing and solving technical engineering problems. This approach provides a synergy between the Life Cycle Assessment (LCA), the non-quality matrix, the Theory of Inventive Problem Solving (TRIZ), morphological analysis and the Analytical Hierarchy Process (AHP). In the sequence of these tools, LCA assesses the environmental impacts generated by the system. Then, for a better consideration of environmental aspects, a new tool is developed, the non-quality matrix, which defines the problem to be solved first from an environmental point of view. The TRIZ method allows the generation of new concepts and contradiction resolution. Then, the morphological analysis offers the possibility of extending the search space of solutions in a design problem in a systematic way. Finally, the AHP identifies the promising solution(s) by providing a clear logic for the choice made. Their usefulness has been demonstrated through their application to a case study involving a centrifugal spreader with spinning discs.

Keywords： eco-innovation     non-quality matrix     TRIZ     composted product spreading    

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Research on integrating customization design for mechanical product

TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 89-93 doi: 10.1007/s11465-007-0015-9

Abstract: This paper proposes an integrating rapid customization design system which combines various technologiesThe whole system is set up on the base of engineering database technology, integrating Product Data Management

Keywords： engineering database     product     Management     database technology     knowledge    

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Smart Grids with Intelligent Periphery: An Architecture for the Energy Internet Artical

Felix F. Wu,Pravin P. Varaiya,Ron S. Y. Hui

Engineering 2015, Volume 1, Issue 4,   Pages 436-446 doi: 10.15302/J-ENG-2015111

Abstract: fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables

Keywords： smart grid     future grid     Energy Internet     energy-management system     integrating renewables     power system operation    

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Optimizing the configuration of a clearwell by integrating pilot and full-scale tracer testing

LIU Wenjun, DU Zhipeng, JIN Junwei

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 270-275 doi: 10.1007/s11783-007-0045-x

Abstract: In this paper, the main factors impacting the plug flow pattern of a clearwell were investigated by integrating
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Enhanced 4-chlorophenol biodegradation by integrating FeO nanoparticles into an anaerobic reactor: Long-term

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 8, doi: 10.1007/s11783-022-1519-6

Abstract:

• 4-chlorophenol biodegradation could be enhanced in Fe2O3 coupled anaerobic system.

Keywords： Dechlorination     Fe2O3 nanoparticles     Electron transfer     Microbial community    

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Energy neutrality potential of wastewater treatment plants: A novel evaluation framework integrating

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1549-0

Abstract:

• Framework of indicators was established based on energy efficiency and recovery.

Keywords： Wastewater treatment plants     Energy neutrality potential     Energy efficiency     Energy recovery     Evaluation framework    

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Integrating operations research into green logistics: A review

Frontiers of Engineering Management   Pages 517-533 doi: 10.1007/s42524-023-0265-1

Abstract: This paper presents a comprehensive review of studies integrating operations research into green logistics

Keywords： green logistics     operations research     environment     literature review    

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Lessons from market reform for renewable integration in the European Union

Furong LI

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 623-629 doi: 10.1007/s11708-018-0575-x

Abstract:

The European Union (EU) has the most advanced, mature, and liberal energy markets that gave rise to the most dramatic drop in wholesale energy prices, whose fallen, however, has not been translated into a reduction in retail energy prices. Instead, energy prices in Europe rose above inflation year-in-year-out, and are considerably higher compared with major economic partners. This paper highlights the key limitations in the EU market designs and network access toward renewable integration, and the wide range of reforms that the EU is currently undertaken across the Member States to achieve two goals: to make the market fit for renewable, and to set a practical example of how a competitive economy can be built on a sustainable and affordable energy system. This paper concludes with key recommendations to developing nations, particularly in addressing heavy renewable curtailment.

Keywords： wholesale energy market     retail energy market     market for renewables    

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INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 1,

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectiveness of hurricane evacuations through a case study of Hurricane Irma. The Category 5 hurricane in 2017 caused a record evacuation with an estimated 6.8 million people relocating statewide in Florida. The Advanced Circulation (ADCIRC) model was applied to simulate storm tides during the hurricane event. Model validations indicated that simulated pressures, winds, and storm surge compared well with observations. Model simulated storm tides and winds were used to estimate the area affected by Hurricane Irma. Results showed that the storm surge and strong wind mainly affected coastal counties in south-west Florida. Only moderate storm tides (maximum about 2.5 m) and maximum wind speed about 115 mph were shown in both model simulations and Federal Emergency Management Agency (FEMA) post-hurricane assessment near the area of hurricane landfall. Storm surges did not rise to the 100-year flood elevation level. The maximum wind was much below the design wind speed of 150–170 mph (Category 5) as defined in Florida Building Code (FBC) for south Florida coastal areas. Compared with the total population of about 2.25 million in the six coastal counties affected by storm surge and Category 1–3 wind, the statewide evacuation of approximately 6.8 million people was found to be an over-evacuation due mainly to the uncertainty of hurricane path, which shifted from south-east to south-west Florida. The uncertainty of hurricane tracks made it difficult to predict the appropriate storm surge inundation zone for evacuation. Traffic data were used to analyze the evacuation traffic patterns. In south-east Florida, evacuation traffic started 4 days before the hurricane’s arrival. However, the hurricane path shifted and eventually landed in south-west Florida, which caused a high level of evacuation traffic in south-west Florida. Over-evacuation caused Evacuation Traffic Index (ETI) to increase to 200% above normal conditions in some sections of highways, which reduced the effectiveness of evacuation. Results from this study show that evacuation efficiency can be improved in the future by more accurate hurricane forecasting, better public awareness of real-time storm surge and wind as well as integrated storm surge and evacuation modeling for quick response to the uncertainty of hurricane forecasting.

Keywords： storm surge modeling     traffic     evacuation     Hurricane Irma    

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A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 617-633 doi: 10.1631/FITEE.1400263

Abstract: A local discriminant regularized soft -means (LDRSKM) method with Bayesian inference is proposed for multimode process monitoring. LDRSKM extends the regularized soft -means algorithm by exploiting the local and non-local geometric information of the data and generalized linear discriminant analysis to provide a better and more meaningful data partition. LDRSKM can perform clustering and subspace selection simultaneously, enhancing the separability of data residing in different clusters. With the data partition obtained, kernel support vector data description (KSVDD) is used to establish the monitoring statistics and control limits. Two Bayesian inference based global fault detection indicators are then developed using the local monitoring results associated with principal and residual subspaces. Based on clustering analysis, Bayesian inference and manifold learning methods, the within and cross-mode correlations, and local geometric information can be exploited to enhance monitoring performances for nonlinear and non-Gaussian processes. The effectiveness and efficiency of the proposed method are evaluated using the Tennessee Eastman benchmark process.

Keywords： Multimode process monitoring     Local discriminant regularized soft k-means clustering     Kernel support vector data description     Bayesian inference     Tennessee Eastman process    

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Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Thus, this paper presents an efficient hybrid framework of integrating machine learning and particle

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Yong HOU, Oene OENEMA, Fusuo ZHANG

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 1,   Pages 1-14 doi: 10.15302/J-FASE-2021384

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Title Author Date Type Operation

Linking renewables and fossil fuels with carbon capture via energy storage for a sustainable energy future

Dawid P. Hanak, Vasilije Manovic

Journal Article

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating

Journal Article

Eco-innovative design approach: Integrating quality and environmental aspects in prioritizing and solving

Mahmoud CHAKROUN,Grigore GOGU,Thomas PACAUD,Fran?ois THIRION

Journal Article

Research on integrating customization design for mechanical product

TAI Ligang, LI Dianqi, ZHONG Tingxiu, LI Zhi

Journal Article

Smart Grids with Intelligent Periphery: An Architecture for the Energy Internet

Felix F. Wu,Pravin P. Varaiya,Ron S. Y. Hui

Journal Article

Optimizing the configuration of a clearwell by integrating pilot and full-scale tracer testing

LIU Wenjun, DU Zhipeng, JIN Junwei

Journal Article

Enhanced 4-chlorophenol biodegradation by integrating FeO nanoparticles into an anaerobic reactor: Long-term

Journal Article

Energy neutrality potential of wastewater treatment plants: A novel evaluation framework integrating

Journal Article

Integrating operations research into green logistics: A review

Journal Article

Lessons from market reform for renewable integration in the European Union

Furong LI

Journal Article

INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Journal Article

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Journal Article

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Journal Article

Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Journal Article

INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Yong HOU, Oene OENEMA, Fusuo ZHANG

Journal Article